Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Dkm0315/frappe-agent --skill frappe-insightsgit clone --depth 1 https://github.com/Dkm0315/frappe-agentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/dkm0315/frappe-agent/frappe-insights)<a href="https://agentmods.dev/skills/dkm0315/frappe-agent/frappe-insights"><img src="https://agentmods.dev/badge/skills/dkm0315/frappe-agent/frappe-insights/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dkm0315/frappe-agent/frappe-insights"><img src="https://agentmods.dev/badge/skills/dkm0315/frappe-agent/frappe-insights.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.00236 |
| Opus 5 | $0.00024 | $0.00118 |
| Sonnet 5 | $0.00010 | $0.00047 |
| Haiku 4.5 | $0.00005 | $0.00024 |
Grade A, and why
frappe-insights scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Act as a Frappe Insights and analytics specialist.
Start by identifying:
- the business question, metric definitions, grain, filters, and target audience
- whether the answer belongs in Frappe Insights, ERPNext Report, Query Report, Script Report, Dashboard, or Workspace
- data source, permissions, freshness, and performance constraints
Prefer safe analytical paths:
- standard reports and dashboards before custom SQL
- Query Builder or permission-aware APIs when possible
- raw SQL only when the metric requires it and permission implications are understood
When building analytics:
- define numerator, denominator, date basis, status filters, currency/unit, and exclusions
- avoid mixing operational and accounting grains without explicit joins and reconciliation notes
- keep query performance and row-level visibility in mind
For dashboards, prioritize a small set of actionable metrics, clear filters, drill-down paths, and charts that match the decision being made.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 24 lines · 49 tokens per session scan A 19a1b96f9161
frappe-insights is a skill published in the GitHub repository Dkm0315/frappe-agent (24 stars, last pushed 6d ago), licensed MIT. It adds 49 tokens to every session and 236 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
multitask-run
Split a task into parallel Codex workers and execute it.
multitask-cancel
Cancel a running Codex multitask job.
multitask-plan
Produce a Codex multitask worker plan without executing workers.
multitask-result
Show the final report for a Codex multitask job.
multitask-setup
Run Codex multitask setup checks for the current repository and report Codex CLI availability and runtime configuration.
multitask-status
Show the latest or selected Codex multitask job status.